Computational modelling and imaging for SARS-CoV-2 and COVID-19

• Material Type: 図書
• ISBN: 9780367695293 (hardback); 9780367696245 (paperback)
• ISBN (error code): 9781003142584 (ebook)
• Title: Computational modelling and imaging for SARS-CoV-2 and COVID-19
• Author/Editor: edited by S. Prabha, P. Karthikeyan, K. Kamalanand, and N. Selvaganesan
• Edition: First edition
• Author Heading: Prabha, S.
• Publication, Distribution, etc.: Abingdon, Oxon : CRC Press (出版)
• Publication Date: 2022
• Publication Date (W3CDTF): 2022
• Extent: xiv, 146 pages
• Size: 25 cm
• Place of Publication (Country Code): GB
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 (Disease); Diagnostic imaging; Computer simulation
• LCC: RA644.C67
• DDC: 616.2/4140754
• NDLC: EG244
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references and index
• Holding library: 国立国会図書館
• Call No.: EG244-D183
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031428049; http://id.ndl.go.jp/bib/031428049
• LC Control Number: 2021019180; https://lccn.loc.gov/2021019180
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Summary, etc.: "This book presents new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS...